Presentation | 2004/12/15 Verifying LVCSR Output at Different Levels with Generalized Posterior Probability Wai-Kit LO, Frank K. SOONG, Satoshi NAKAMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Generalized posterior probability (GPP), a statistical confidence measure, is used for verification of large vocabulary continuous speech recognition (LVCSR) output at subword, word and utterance levels. GPP is obtained by combining exponentially and optimally weighted products of acoustic and language model scores for reappeared units in the reduced search space (e.g., word graph). Experimental results have demonstrated the effectiveness of GPP for verifying LVCSR output at all three levels. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | confidence measure / posterior probability / large vocabulary continuous speech recognition |
Paper # | NLC2004-84,SP2004-124 |
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Committee | NLC |
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Conference Date | 2004/12/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Verifying LVCSR Output at Different Levels with Generalized Posterior Probability |
Sub Title (in English) | |
Keyword(1) | confidence measure |
Keyword(2) | posterior probability |
Keyword(3) | large vocabulary continuous speech recognition |
1st Author's Name | Wai-Kit LO |
1st Author's Affiliation | Spoken Language Translation Research Laboratories, ATR() |
2nd Author's Name | Frank K. SOONG |
2nd Author's Affiliation | Spoken Language Translation Research Laboratories, ATR |
3rd Author's Name | Satoshi NAKAMURA |
3rd Author's Affiliation | Spoken Language Translation Research Laboratories, ATR |
Date | 2004/12/15 |
Paper # | NLC2004-84,SP2004-124 |
Volume (vol) | vol.104 |
Number (no) | 540 |
Page | pp.pp.- |
#Pages | 6 |
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